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Estimation of Modelling Parameters for H.263-Quantized Video Traces
Joint Authors
Source
Journal of Computer Networks and Communications
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-03
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
We propose methods for selecting the modelling parameters of H.263-quantized video traffic under two different encoding scenarios.
For videos encoded with a constant quantization step (unconstrained), we conclude that a two-parameter power relation holds between the exhibited video bit rate and the quantizer value and that the autocorrelation decay rate remains constant for all cases.
On the basis of these results, we propose a generic method for estimating the modelling parameters of unconstrained traffic by means of measuring the statistics of the single “raw” video trace.
For rate-controlled video (constrained), we propose an approximate method based on the adjustment of the “shape” parameter of the counterpart—with respect to rate—unconstrained video trace.
The convergence of the constructed models is assessed via q-q plots and queuing simulations.
On the assumption that the popular MPEG-4 encoders like XVID, DIVX usually employ identical H.263 quantization and rate control schemes, it is expected that the results of this paper also hold for the MPEG-4 part 2 family.
American Psychological Association (APA)
Drigas, A.& Kouremenos, S.. 2013. Estimation of Modelling Parameters for H.263-Quantized Video Traces. Journal of Computer Networks and Communications،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-465021
Modern Language Association (MLA)
Drigas, A.& Kouremenos, S.. Estimation of Modelling Parameters for H.263-Quantized Video Traces. Journal of Computer Networks and Communications No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-465021
American Medical Association (AMA)
Drigas, A.& Kouremenos, S.. Estimation of Modelling Parameters for H.263-Quantized Video Traces. Journal of Computer Networks and Communications. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-465021
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-465021